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# Senior Specialist, Data Science & Artificial Intelligence

- **Company:** Novartis
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £57,050.0 - £105,950.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Bioinformatics, Cloud Computing, Computer Programming, Databases, Data Governance, Data Mining, Data Visualization, Distributed Systems, Python (Programming Language), Machine Learning, Software Construction, Large Language Models, Deep Learning, Information Technology, Software Version Control
- **Published:** August 16, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5843190484

## About the Role

* Master's degree or doctorate in Computer Science, Data Science, Artificial Intelligence, Bioinformatics, or related quantitative discipline.
 * Proven experience developing artificial intelligence and automation solutions within a scientific or technical environment.
 * Strong expertise in software engineering best practices, including testing, documentation, deployment, and version control.
 * Advanced programming skills in Python or R, with experience building and deploying production solutions.
 * Specialist knowledge of machine learning, deep learning, large language models, or advanced data science methods.
 * Experience working with large-scale computing environments, databases, cloud platforms, or distributed systems.
 * Strong communication skills with the ability to translate technical concepts for diverse stakeholders.
 * Demonstrated track record of delivering high-quality scientific or technical outcomes in a collaborative environment., Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

## Description

* Design and deploy artificial intelligence and automation solutions that accelerate clinical trial data workflows.
 * Build scalable tools that improve document processing, data extraction, and analytical efficiency.
 * Collaborate with quantitative sciences, technology, and innovation teams to deliver high-impact solutions.
 * Translate complex scientific and data challenges into practical, value-driven engineering outcomes.
 * Champion adoption of artificial intelligence technologies through expert guidance and technical leadership.
 * Ensure solutions meet quality, compliance, privacy, and regulatory standards within drug development.
 * Stay at the forefront of industry advancements and contribute to external scientific communities.
 * Promote a culture of innovation, continuous learning, collaboration, and operational excellence.


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